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On the effect of prior assumptions in Bayesian model averaging with applicati...
We consider the problem of variable selection in linear regression models. Bayesian model averaging has become an important tool in empirical settings with large numbers of... -
Smoothed binary regression quantiles (replication data)
This paper extends results regarding smoothed median binary regression to general smoothed binary quantile regression, discusses the interpretation of the resulting estimators... -
Projection pursuit regression and disaggregate productivity effects: the case...
Productivity of blast furnaces in India is studied by disaggregating the production process and the utilization process. A dimension-reducing nonparametric approach-projection... -
Model uncertainty in cross-country growth regressions (replication data)
We investigate the issue of model uncertainty in cross-country growth regressions using Bayesian Model Averaging (BMA). We find that the posterior probability is spread widely... -
Bounds testing approaches to the analysis of level relationships (replication...
This paper develops a new approach to the problem of testing the existence of a level relationship between a dependent variable and a set of regressors, when it is not known... -
Non-linearities in cross-country growth regressions: a semiparametric approac...
In this paper we employ an additive semiparametric partially linear model to uncover the way that initial output and schooling levels affect growth rates. Our results based on...
